

import re
import tempfile
from pathlib import Path

import pytest
import yaml

from datasets.utils.readme import ReadMe


# @pytest.fixture
# def example_yaml_structure():

__snake_case				:      List[Any]   		=			yaml.safe_load(
    """\
name: \"\"
allow_empty: false
allow_empty_text: true
subsections:
  - name: \"Dataset Card for X\" # First-level markdown heading
    allow_empty: false
    allow_empty_text: true
    subsections:
      - name: \"Table of Contents\"
        allow_empty: false
        allow_empty_text: false
        subsections: null
      - name: \"Dataset Description\"
        allow_empty: false
        allow_empty_text: false
        subsections:
          - name: \"Dataset Summary\"
            allow_empty: false
            allow_empty_text: false
            subsections: null
          - name: \"Supported Tasks and Leaderboards\"
            allow_empty: true
            allow_empty_text: true
            subsections: null
          - name: Languages
            allow_empty: false
            allow_empty_text: true
            subsections: null
"""
)


__snake_case				:      str   		=			{
    """name""": """root""",
    """text""": """""",
    """is_empty_text""": True,
    """subsections""": [
        {
            """name""": """Dataset Card for My Dataset""",
            """text""": """""",
            """is_empty_text""": True,
            """subsections""": [
                {"""name""": """Table of Contents""", """text""": """Some text here.""", """is_empty_text""": False, """subsections""": []},
                {
                    """name""": """Dataset Description""",
                    """text""": """Some text here.""",
                    """is_empty_text""": False,
                    """subsections""": [
                        {
                            """name""": """Dataset Summary""",
                            """text""": """Some text here.""",
                            """is_empty_text""": False,
                            """subsections""": [],
                        },
                        {
                            """name""": """Supported Tasks and Leaderboards""",
                            """text""": """""",
                            """is_empty_text""": True,
                            """subsections""": [],
                        },
                        {"""name""": """Languages""", """text""": """Language Text""", """is_empty_text""": False, """subsections""": []},
                    ],
                },
            ],
        }
    ],
}


__snake_case				:      Optional[Any]   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""


__snake_case				:      Dict   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
#### Extra Ignored Subsection
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

__snake_case				:      List[str]   		=			{
    """name""": """root""",
    """text""": """""",
    """is_empty_text""": True,
    """subsections""": [
        {
            """name""": """Dataset Card for My Dataset""",
            """text""": """""",
            """is_empty_text""": True,
            """subsections""": [
                {"""name""": """Table of Contents""", """text""": """Some text here.""", """is_empty_text""": False, """subsections""": []},
                {
                    """name""": """Dataset Description""",
                    """text""": """Some text here.""",
                    """is_empty_text""": False,
                    """subsections""": [
                        {
                            """name""": """Dataset Summary""",
                            """text""": """Some text here.""",
                            """is_empty_text""": False,
                            """subsections""": [
                                {
                                    """name""": """Extra Ignored Subsection""",
                                    """text""": """""",
                                    """is_empty_text""": True,
                                    """subsections""": [],
                                }
                            ],
                        },
                        {
                            """name""": """Supported Tasks and Leaderboards""",
                            """text""": """""",
                            """is_empty_text""": True,
                            """subsections""": [],
                        },
                        {"""name""": """Languages""", """text""": """Language Text""", """is_empty_text""": False, """subsections""": []},
                    ],
                },
            ],
        }
    ],
}

__snake_case				:      Union[str, Any]   		=			"""\
---
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

__snake_case				:      Optional[int]   		=			(
    """The following issues were found for the README at `{path}`:\n-\tEmpty YAML markers are present in the README."""
)

__snake_case				:      int   		=			"""\
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

__snake_case				:      List[str]   		=			(
    """The following issues were found for the README at `{path}`:\n-\tNo YAML markers are present in the README."""
)

__snake_case				:      List[Any]   		=			"""\
---
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

__snake_case				:      Dict   		=			"""The following issues were found for the README at `{path}`:\n-\tOnly the start of YAML tags present in the README."""

__snake_case				:      Tuple   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
### Supported Tasks and Leaderboards
### Languages
Language Text
"""
__snake_case				:      List[str]   		=			"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Summary` but it is empty.\n-\tExpected some text in section `Dataset Summary` but it is empty (text in subsections are ignored)."""


__snake_case				:      Tuple   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
"""
__snake_case				:      Any   		=			"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Dataset Card for My Dataset` but it is empty.\n-\tSection `Dataset Card for My Dataset` expected the following subsections: `Table of Contents`, `Dataset Description`. Found 'None'."""

__snake_case				:      Union[str, Any]   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Languages
Language Text
"""

__snake_case				:      Union[str, Any]   		=			"""The following issues were found for the README at `{path}`:\n-\tSection `Dataset Description` is missing subsection: `Supported Tasks and Leaderboards`."""


__snake_case				:      int   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
"""

__snake_case				:      Optional[int]   		=			"""The following issues were found for the README at `{path}`:\n-\tExpected some content in section `Languages` but it is empty."""

__snake_case				:      Union[str, Any]   		=			"""\
---
language:
- zh
- en
---

## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""
__snake_case				:      Optional[int]   		=			"""The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README."""

__snake_case				:      Optional[Any]   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
# Dataset Card My Dataset
"""

__snake_case				:      int   		=			"""The following issues were found for the README at `{path}`:\n-\tThe README has several first-level headings: `Dataset Card for My Dataset`, `Dataset Card My Dataset`. Only one heading is expected. Skipping further validation for this README."""

__snake_case				:      int   		=			"""\
---
language:
- zh
- en
---

# Dataset Card My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

__snake_case				:      Optional[Any]   		=			"""The following issues were found for the README at `{path}`:\n-\tNo first-level heading starting with `Dataset Card for` found in README. Skipping further validation for this README."""

__snake_case				:      List[str]   		=			""""""

__snake_case				:      str   		=			"""The following issues were found for the README at `{path}`:\n-\tThe README has no first-level headings. One heading is expected. Skipping further validation for this README.\n-\tNo YAML markers are present in the README."""

__snake_case				:      Optional[int]   		=			"""\
---
language:
- zh
- en
---

# Dataset Card for My Dataset
# Dataset Card for My Dataset
## Table of Contents
Some text here.
## Dataset Description
Some text here.
### Dataset Summary
Some text here.
### Supported Tasks and Leaderboards
### Languages
Language Text
"""

__snake_case				:      List[str]   		=			"""The following issues were found while parsing the README at `{path}`:\n-\tMultiple sections with the same heading `Dataset Card for My Dataset` have been found. Please keep only one of these sections."""


@pytest.mark.parametrize(
    """readme_md, expected_dict"""  ,	[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]  ,	)
def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			assert ReadMe.from_string(a__  ,	a__).to_dict() == expected_dict


@pytest.mark.parametrize(
    """readme_md, expected_error"""  ,	[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]  ,	)
def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			with pytest.raises(a__  ,	match=re.escape(expected_error.format(path="""root"""))):
						a_						:						Any 							= ReadMe.from_string(a__  ,	a__)
						readme.validate()


@pytest.mark.parametrize(
    """readme_md, expected_error"""  ,	[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]  ,	)
def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			with pytest.raises(a__  ,	match=re.escape(expected_error.format(path="""root"""))):
						ReadMe.from_string(a__  ,	a__)


@pytest.mark.parametrize(
    """readme_md,"""  ,	[
        (README_MULTIPLE_SAME_HEADING_1),
    ]  ,	)
def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			ReadMe.from_string(a__  ,	a__  ,	suppress_parsing_errors=a__)


@pytest.mark.parametrize(
    """readme_md, expected_dict"""  ,	[
        (README_CORRECT, CORRECT_DICT),
        (README_CORRECT_FOUR_LEVEL, CORRECT_DICT_FOUR_LEVEL),
    ]  ,	)
def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			with tempfile.TemporaryDirectory() as tmp_dir:
						a_						:						Dict 							= Path(a__) / """README.md"""
						with open(a__  ,	"""w+""") as readme_file:
									readme_file.write(a__)
						a_						:						Optional[int] 							= ReadMe.from_readme(a__  ,	a__).to_dict()
						assert out["name"] == path
						assert out["text"] == ""
						assert out["is_empty_text"]
						assert out["subsections"] == expected_dict["subsections"]


@pytest.mark.parametrize(
    """readme_md, expected_error"""  ,	[
        (README_NO_YAML, EXPECTED_ERROR_README_NO_YAML),
        (README_EMPTY_YAML, EXPECTED_ERROR_README_EMPTY_YAML),
        (README_INCORRECT_YAML, EXPECTED_ERROR_README_INCORRECT_YAML),
        (README_EMPTY, EXPECTED_ERROR_README_EMPTY),
        (README_NONE_SUBSECTION, EXPECTED_ERROR_README_NONE_SUBSECTION),
        (README_MISSING_FIRST_LEVEL, EXPECTED_ERROR_README_MISSING_FIRST_LEVEL),
        (README_MISSING_SUBSECTION, EXPECTED_ERROR_README_MISSING_SUBSECTION),
        (README_MISSING_TEXT, EXPECTED_ERROR_README_MISSING_TEXT),
        (README_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_WRONG_FIRST_LEVEL),
        (README_MULTIPLE_WRONG_FIRST_LEVEL, EXPECTED_ERROR_README_MULTIPLE_WRONG_FIRST_LEVEL),
        (README_MISSING_CONTENT, EXPECTED_ERROR_README_MISSING_CONTENT),
    ]  ,	)
def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			with tempfile.TemporaryDirectory() as tmp_dir:
						a_						:						Optional[int] 							= Path(a__) / """README.md"""
						with open(a__  ,	"""w+""") as readme_file:
									readme_file.write(a__)
						a_						:						Tuple 							= expected_error.format(path=a__)
						with pytest.raises(a__  ,	match=re.escape(a__)):
									a_						:						List[str] 							= ReadMe.from_readme(a__  ,	a__)
									readme.validate()


@pytest.mark.parametrize(
    """readme_md, expected_error"""  ,	[
        (README_MULTIPLE_SAME_HEADING_1, EXPECTED_ERROR_README_MULTIPLE_SAME_HEADING_1),
    ]  ,	)
def 					_UpperCAmelCase				(						a__  ,	a__):

			'''simple docstring'''



			with tempfile.TemporaryDirectory() as tmp_dir:
						a_						:						Any 							= Path(a__) / """README.md"""
						with open(a__  ,	"""w+""") as readme_file:
									readme_file.write(a__)
						a_						:						int 							= expected_error.format(path=a__)
						with pytest.raises(a__  ,	match=re.escape(a__)):
									ReadMe.from_readme(a__  ,	a__)



@pytest.mark.parametrize(
    """readme_md,"""  ,	[
        (README_MULTIPLE_SAME_HEADING_1),
    ]  ,	)
def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			with tempfile.TemporaryDirectory() as tmp_dir:
						a_						:						List[str] 							= Path(a__) / """README.md"""
						with open(a__  ,	"""w+""") as readme_file:
									readme_file.write(a__)
						ReadMe.from_readme(a__  ,	a__  ,	suppress_parsing_errors=a__)





from __future__ import annotations


def 					_UpperCAmelCase				(						a__):

			'''simple docstring'''



			if len(a__) == 0:
						return []
			a_							,					a_						:						List[Any] 							= min(a__), max(a__)
			a_						:						Tuple 							= int(max_value - min_value) + 1
			a_						:						list[list] 							= [[] for _ in range(a__)]

			for i in my_list:
						buckets[int(i - min_value)].append(a__)

			return [v for bucket in buckets for v in sorted(a__)]


if __name__ == "__main__":
	from doctest import testmod

	testmod()
	assert bucket_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
	assert bucket_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]


